Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "63" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 32 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 32 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2460015 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.646254 | 15.320227 | -0.651944 | 5.899665 | -0.548362 | 7.028382 | -0.904164 | 2.672559 | 0.5499 | 0.0465 | 0.4274 | nan | nan |
| 2460014 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.972650 | 12.973541 | -0.633676 | 4.032608 | 0.185355 | 10.511613 | -0.789111 | 2.089590 | 0.5166 | 0.0434 | 0.4104 | nan | nan |
| 2460013 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.500223 | 15.355811 | -0.640757 | 5.845904 | -0.283016 | 7.056155 | -0.690885 | 3.884542 | 0.5445 | 0.0449 | 0.4303 | nan | nan |
| 2460012 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.388859 | 14.433776 | -0.798528 | 5.678592 | -0.275368 | 7.760087 | -0.827602 | 4.640127 | 0.5487 | 0.0465 | 0.4238 | nan | nan |
| 2460011 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.963049 | 15.498758 | -0.899803 | 7.544129 | 0.957828 | 16.071305 | -0.371915 | 3.511126 | 0.5450 | 0.0469 | 0.4243 | nan | nan |
| 2460010 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 2.193348 | 16.925356 | -0.193591 | 6.331602 | 0.118921 | 10.524525 | -0.349590 | 3.163422 | 0.5569 | 0.0483 | 0.4351 | nan | nan |
| 2460009 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.660112 | 15.655154 | -0.683096 | 7.148915 | 0.218480 | 8.862000 | -0.691073 | 3.274373 | 0.5583 | 0.0464 | 0.4332 | nan | nan |
| 2460008 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 2.350657 | 19.203778 | -0.629445 | 7.706726 | 0.241236 | 7.804694 | -0.346738 | 5.995659 | 0.6136 | 0.0491 | 0.4595 | nan | nan |
| 2460007 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.168041 | 14.341855 | -0.597034 | 6.044413 | -0.278469 | 7.254026 | -0.363013 | 3.704975 | 0.5674 | 0.0472 | 0.4389 | nan | nan |
| 2459999 | not_connected | 0.00% | 99.25% | 99.50% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.2112 | 0.1483 | 0.1134 | nan | nan |
| 2459998 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.934127 | 12.118302 | -0.394352 | 4.972069 | -0.215583 | 10.251313 | -0.308703 | 3.031818 | 0.5677 | 0.0427 | 0.4590 | nan | nan |
| 2459997 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.113466 | 13.152206 | -0.220751 | 5.432714 | -0.469877 | 9.632814 | -0.486617 | 4.400645 | 0.5928 | 0.0461 | 0.4730 | nan | nan |
| 2459996 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.348650 | 14.146432 | -0.715343 | 6.867181 | -0.357701 | 9.306919 | -0.304594 | 1.876263 | 0.5875 | 0.0447 | 0.4675 | nan | nan |
| 2459995 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.366771 | 14.483319 | -0.562408 | 6.141013 | 0.461067 | 9.546644 | -0.610428 | 1.747753 | 0.5918 | 0.0509 | 0.4619 | nan | nan |
| 2459994 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.562580 | 14.070424 | -0.364373 | 5.338320 | 0.234197 | 9.592431 | -0.431675 | 1.491933 | 0.5841 | 0.0449 | 0.4607 | nan | nan |
| 2459993 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 2.404119 | 13.162883 | -0.097852 | 4.661986 | 1.368794 | 10.975097 | -0.353087 | 2.834669 | 0.5765 | 0.0394 | 0.4461 | nan | nan |
| 2459991 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 2.297295 | 16.349364 | -0.185030 | 5.072838 | 1.117314 | 10.813923 | -0.284663 | 1.527856 | 0.5822 | 0.0425 | 0.4696 | nan | nan |
| 2459990 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.707579 | 13.468793 | -0.109334 | 4.817371 | 0.816112 | 11.101475 | -0.644373 | 1.368199 | 0.5816 | 0.0472 | 0.4592 | nan | nan |
| 2459989 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.436206 | 13.651511 | 0.103890 | 4.518976 | 0.539657 | 9.304334 | -0.585995 | 1.163455 | 0.5800 | 0.0431 | 0.4633 | nan | nan |
| 2459988 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.943251 | 16.002966 | -0.202428 | 4.893798 | 0.772643 | 13.278961 | -0.347763 | 1.358277 | 0.5679 | 0.0416 | 0.4574 | nan | nan |
| 2459987 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.203026 | 13.412502 | -0.324345 | 5.064483 | -0.318756 | 8.026254 | 0.747752 | 4.322000 | 0.5886 | 0.0456 | 0.4653 | nan | nan |
| 2459986 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.939110 | 16.392582 | -0.323323 | 5.385243 | 0.441372 | 11.320465 | -0.678536 | 10.131235 | 0.6006 | 0.0438 | 0.4581 | nan | nan |
| 2459985 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.797759 | 14.799878 | -0.462255 | 5.092533 | -0.055563 | 8.656714 | 0.248329 | 3.430468 | 0.5835 | 0.0436 | 0.4675 | nan | nan |
| 2459984 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.578614 | 14.167483 | -0.465839 | 5.390905 | -0.333460 | 12.133528 | -0.241904 | 3.992269 | 0.5928 | 0.0466 | 0.4742 | nan | nan |
| 2459983 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.012918 | 14.031221 | -0.293466 | 4.843514 | 0.372418 | 11.252745 | 1.491650 | 8.542844 | 0.6276 | 0.0462 | 0.4769 | nan | nan |
| 2459982 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.673220 | 11.633115 | -0.658626 | 4.288086 | -1.040724 | 5.304028 | -0.669937 | 3.300795 | 0.6583 | 0.0438 | 0.4847 | nan | nan |
| 2459981 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.032118 | 12.874286 | -0.158389 | 4.958224 | 0.839355 | 12.416265 | -0.560266 | 1.754094 | 0.5909 | 0.0456 | 0.4713 | nan | nan |
| 2459980 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.014647 | 12.536235 | -0.466982 | 4.647902 | -0.027545 | 10.886858 | -0.868577 | 5.591852 | 0.6357 | 0.0460 | 0.4756 | nan | nan |
| 2459979 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.002150 | 12.990248 | -0.285543 | 4.213132 | 0.616772 | 10.197803 | 0.157157 | 2.284642 | 0.5859 | 0.0431 | 0.4690 | nan | nan |
| 2459978 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.010762 | 13.193716 | -0.182917 | 4.533119 | 0.605841 | 11.021330 | -0.595237 | 2.191963 | 0.5829 | 0.0407 | 0.4746 | nan | nan |
| 2459977 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.097307 | 13.908370 | -0.396641 | 4.706729 | 1.002718 | 11.524764 | 2.204451 | 4.326314 | 0.5547 | 0.0472 | 0.4403 | nan | nan |
| 2459976 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.080022 | 13.392842 | -0.337596 | 4.717109 | 0.754521 | 10.909811 | -0.698243 | 2.048059 | 0.5980 | 0.0427 | 0.4817 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 15.320227 | 15.320227 | 1.646254 | 5.899665 | -0.651944 | 7.028382 | -0.548362 | 2.672559 | -0.904164 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 12.973541 | 1.972650 | 12.973541 | -0.633676 | 4.032608 | 0.185355 | 10.511613 | -0.789111 | 2.089590 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 15.355811 | 1.500223 | 15.355811 | -0.640757 | 5.845904 | -0.283016 | 7.056155 | -0.690885 | 3.884542 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.433776 | 1.388859 | 14.433776 | -0.798528 | 5.678592 | -0.275368 | 7.760087 | -0.827602 | 4.640127 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Temporal Variability | 16.071305 | 1.963049 | 15.498758 | -0.899803 | 7.544129 | 0.957828 | 16.071305 | -0.371915 | 3.511126 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 16.925356 | 2.193348 | 16.925356 | -0.193591 | 6.331602 | 0.118921 | 10.524525 | -0.349590 | 3.163422 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 15.655154 | 1.660112 | 15.655154 | -0.683096 | 7.148915 | 0.218480 | 8.862000 | -0.691073 | 3.274373 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 19.203778 | 19.203778 | 2.350657 | 7.706726 | -0.629445 | 7.804694 | 0.241236 | 5.995659 | -0.346738 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.341855 | 1.168041 | 14.341855 | -0.597034 | 6.044413 | -0.278469 | 7.254026 | -0.363013 | 3.704975 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 12.118302 | 0.934127 | 12.118302 | -0.394352 | 4.972069 | -0.215583 | 10.251313 | -0.308703 | 3.031818 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.152206 | 1.113466 | 13.152206 | -0.220751 | 5.432714 | -0.469877 | 9.632814 | -0.486617 | 4.400645 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.146432 | 1.348650 | 14.146432 | -0.715343 | 6.867181 | -0.357701 | 9.306919 | -0.304594 | 1.876263 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.483319 | 1.366771 | 14.483319 | -0.562408 | 6.141013 | 0.461067 | 9.546644 | -0.610428 | 1.747753 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.070424 | 1.562580 | 14.070424 | -0.364373 | 5.338320 | 0.234197 | 9.592431 | -0.431675 | 1.491933 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.162883 | 2.404119 | 13.162883 | -0.097852 | 4.661986 | 1.368794 | 10.975097 | -0.353087 | 2.834669 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 16.349364 | 2.297295 | 16.349364 | -0.185030 | 5.072838 | 1.117314 | 10.813923 | -0.284663 | 1.527856 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.468793 | 13.468793 | 1.707579 | 4.817371 | -0.109334 | 11.101475 | 0.816112 | 1.368199 | -0.644373 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.651511 | 13.651511 | 1.436206 | 4.518976 | 0.103890 | 9.304334 | 0.539657 | 1.163455 | -0.585995 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 16.002966 | 16.002966 | 1.943251 | 4.893798 | -0.202428 | 13.278961 | 0.772643 | 1.358277 | -0.347763 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.412502 | 1.203026 | 13.412502 | -0.324345 | 5.064483 | -0.318756 | 8.026254 | 0.747752 | 4.322000 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 16.392582 | 16.392582 | 1.939110 | 5.385243 | -0.323323 | 11.320465 | 0.441372 | 10.131235 | -0.678536 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.799878 | 14.799878 | 1.797759 | 5.092533 | -0.462255 | 8.656714 | -0.055563 | 3.430468 | 0.248329 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.167483 | 1.578614 | 14.167483 | -0.465839 | 5.390905 | -0.333460 | 12.133528 | -0.241904 | 3.992269 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 14.031221 | 0.012918 | 14.031221 | -0.293466 | 4.843514 | 0.372418 | 11.252745 | 1.491650 | 8.542844 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 11.633115 | -0.673220 | 11.633115 | -0.658626 | 4.288086 | -1.040724 | 5.304028 | -0.669937 | 3.300795 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 12.874286 | 12.874286 | 0.032118 | 4.958224 | -0.158389 | 12.416265 | 0.839355 | 1.754094 | -0.560266 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 12.536235 | 12.536235 | -0.014647 | 4.647902 | -0.466982 | 10.886858 | -0.027545 | 5.591852 | -0.868577 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 12.990248 | -0.002150 | 12.990248 | -0.285543 | 4.213132 | 0.616772 | 10.197803 | 0.157157 | 2.284642 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.193716 | 13.193716 | 0.010762 | 4.533119 | -0.182917 | 11.021330 | 0.605841 | 2.191963 | -0.595237 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.908370 | 0.097307 | 13.908370 | -0.396641 | 4.706729 | 1.002718 | 11.524764 | 2.204451 | 4.326314 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | N06 | not_connected | nn Shape | 13.392842 | 13.392842 | 0.080022 | 4.717109 | -0.337596 | 10.909811 | 0.754521 | 2.048059 | -0.698243 |